Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "70"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 70 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 70, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.456627 -0.293421 0.865772 -0.843292 3.496131 1.178002 0.315218 -0.859387 0.8574 0.8570 0.2208 63.100137 53.514547
2459851 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.800919 0.008172 -0.084279 -0.442252 2.285607 0.667245 0.248455 0.252253 0.7908 0.7708 0.3198 21.865311 15.806733
2459850 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.374646 -0.838765 -0.166148 -0.264930 3.684279 0.195774 -0.248845 1.041498 0.7744 0.7803 0.3330 20.183388 14.304430
2459849 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.893644 -0.951941 0.874587 -0.114225 8.906623 0.423014 0.846833 0.187647 0.7721 0.7723 0.3391 21.550960 14.253741
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.323621 -0.672141 0.086023 -1.143933 2.696610 0.632249 -0.314586 0.214673 0.7544 0.7739 0.3596 15.384548 10.906954
2459847 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.038729 -0.532019 0.607088 -0.801615 0.913102 0.664998 -0.478782 -0.218355 0.7544 0.7121 0.4135 13.817565 10.477509
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.578967 -1.745728 0.553534 -0.051104 3.132225 2.544959 0.002540 2.639137 0.8586 0.6838 0.4561 14.942183 8.146350
2459845 RF_maintenance 100.00% 0.00% 0.55% 0.00% 100.00% 0.00% 11.820838 -1.290675 0.268154 -0.118307 12.502613 0.840959 0.673972 2.232043 0.7592 0.7566 0.3686 7.337793 4.915965
2459844 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 60.469304 50.467234 97.760971 103.394563 310.875066 227.092493 48.965997 63.044520 0.8892 0.6140 0.5779 nan nan
2459843 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.895978 -0.252056 0.098134 -0.977040 73.978875 81.109984 0.964184 0.685384 0.7733 0.7721 0.3783 15.184850 11.835276
2459840 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 59.868823 -0.646397 15.423634 -0.389525 9.168082 0.158602 22.480464 0.569161 0.0196 0.0231 0.0012 nan nan
2459839 RF_maintenance 100.00% - - - - - 15.189952 -1.114608 36.721142 -0.432942 2.622069 -1.438023 31.920818 0.786408 nan nan nan nan nan
2459838 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 80.276665 95.009380 83.557078 64.375493 109.401472 60.179840 1152.780386 367.310189 0.0164 0.0164 0.0003 1.046017 1.044725
2459836 RF_maintenance - 0.00% 16.11% 0.00% - - nan nan nan nan nan nan nan nan 0.6505 0.5280 0.4017 nan nan
2459835 RF_maintenance 100.00% 0.00% 83.33% 0.00% - - 5.715348 5.348576 9.445975 10.874766 48.368973 23.798494 -1.700472 -4.319967 0.7219 0.3707 0.5572 nan nan
2459833 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 22.436812 19.046372 32.547052 29.594530 330.441792 316.639465 31.124191 41.956436 0.7412 0.4537 0.5147 nan nan
2459832 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.622349 -1.751379 1.982080 -0.870516 3.747527 3.292810 1.244831 4.685262 0.0779 0.0789 0.0123 1.237561 1.230220
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 15.674380 0.602958 39.654066 -0.598132 2.723431 -1.173532 23.496090 0.182202 0.0206 0.0401 0.0066 nan nan
2459830 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.311974 -1.756946 1.161567 -1.114440 1.352190 0.776556 0.031375 2.720704 0.0713 0.0675 0.0086 1.262702 1.263470
2459829 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 14.999299 -2.182727 -0.266502 -0.834072 10.225175 1.853197 1.766844 3.442189 0.0747 0.0685 0.0083 0.934302 0.924239
2459828 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 10.352550 -1.088280 -0.199719 -0.480246 0.952293 2.344704 0.077749 12.159684 0.0789 0.0702 0.0108 1.258343 1.251926
2459827 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.764318 -1.454700 0.611002 -0.968971 2.609994 2.265415 -0.281667 -0.118386 0.0730 0.0721 0.0085 1.235505 1.235236
2459826 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 8.596313 -0.987261 0.824853 -0.616144 3.393499 -0.999831 1.135454 6.851849 0.0706 0.0561 0.0062 1.228996 1.227665
2459825 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.140665 -1.248403 1.045872 -0.992336 -0.908615 0.857089 -0.819655 -0.607561 0.0839 0.0735 0.0113 1.101997 1.106826
2459824 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.340714 -1.812851 0.779806 -0.986517 2.317545 -0.906943 0.230268 0.860818 0.0767 0.0771 0.0096 1.200873 1.199740
2459823 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 7.203718 -1.398972 1.485308 -0.452326 0.479001 -0.939514 -0.679824 1.893036 0.0805 0.0756 0.0098 1.182393 1.195141
2459822 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 8.841712 -1.063345 0.474672 -1.021649 -0.656194 -1.243257 0.627963 -0.218445 0.0892 0.0830 0.0091 1.177698 1.177539
2459821 RF_maintenance 100.00% 11.29% 11.29% 0.00% 100.00% 0.00% 9.925905 -0.946732 0.373186 -1.024131 -1.203158 -0.961556 1.661898 -0.566188 0.7342 0.6197 0.4175 14.010384 10.543052
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.353067 -1.473501 -0.124232 -0.860073 20.355922 4.018431 1.242641 0.764547 0.7950 0.7198 0.3880 16.790737 11.939017
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.184100 -1.193739 0.071562 -0.898306 -0.745667 -1.489977 -0.635205 -0.530998 0.8357 0.7232 0.4726 15.294653 17.380409
2459816 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.864484 -1.257250 1.418474 -1.229696 1.044804 -0.123882 0.439381 1.797906 0.8534 0.6327 0.5520 13.914767 9.832704
2459815 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.706013 -1.510710 0.930838 -1.051218 -0.109787 -0.831083 -0.574194 1.136299 0.8333 0.7293 0.4875 27.932917 30.260263
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.385392 -2.191853 -0.233142 -1.037635 22.888005 1.359502 1.219071 2.258021 0.8137 0.7532 0.3848 25.665375 20.855486

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 70: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.456627 8.456627 -0.293421 0.865772 -0.843292 3.496131 1.178002 0.315218 -0.859387

Antenna 70: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 7.800919 7.800919 0.008172 -0.084279 -0.442252 2.285607 0.667245 0.248455 0.252253

Antenna 70: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.374646 8.374646 -0.838765 -0.166148 -0.264930 3.684279 0.195774 -0.248845 1.041498

Antenna 70: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.893644 9.893644 -0.951941 0.874587 -0.114225 8.906623 0.423014 0.846833 0.187647

Antenna 70: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.323621 -0.672141 9.323621 -1.143933 0.086023 0.632249 2.696610 0.214673 -0.314586

Antenna 70: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 10.038729 -0.532019 10.038729 -0.801615 0.607088 0.664998 0.913102 -0.218355 -0.478782

Antenna 70: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.578967 9.578967 -1.745728 0.553534 -0.051104 3.132225 2.544959 0.002540 2.639137

Antenna 70: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 12.502613 -1.290675 11.820838 -0.118307 0.268154 0.840959 12.502613 2.232043 0.673972

Antenna 70: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 310.875066 60.469304 50.467234 97.760971 103.394563 310.875066 227.092493 48.965997 63.044520

Antenna 70: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance nn Temporal Variability 81.109984 -0.252056 8.895978 -0.977040 0.098134 81.109984 73.978875 0.685384 0.964184

Antenna 70: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 59.868823 59.868823 -0.646397 15.423634 -0.389525 9.168082 0.158602 22.480464 0.569161

Antenna 70: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Power 36.721142 -1.114608 15.189952 -0.432942 36.721142 -1.438023 2.622069 0.786408 31.920818

Antenna 70: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Discontinuties 1152.780386 95.009380 80.276665 64.375493 83.557078 60.179840 109.401472 367.310189 1152.780386

Antenna 70: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 48.368973 5.348576 5.715348 10.874766 9.445975 23.798494 48.368973 -4.319967 -1.700472

Antenna 70: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 330.441792 19.046372 22.436812 29.594530 32.547052 316.639465 330.441792 41.956436 31.124191

Antenna 70: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 11.622349 11.622349 -1.751379 1.982080 -0.870516 3.747527 3.292810 1.244831 4.685262

Antenna 70: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Power 39.654066 15.674380 0.602958 39.654066 -0.598132 2.723431 -1.173532 23.496090 0.182202

Antenna 70: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 11.311974 11.311974 -1.756946 1.161567 -1.114440 1.352190 0.776556 0.031375 2.720704

Antenna 70: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 14.999299 -2.182727 14.999299 -0.834072 -0.266502 1.853197 10.225175 3.442189 1.766844

Antenna 70: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance nn Temporal Discontinuties 12.159684 -1.088280 10.352550 -0.480246 -0.199719 2.344704 0.952293 12.159684 0.077749

Antenna 70: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 11.764318 11.764318 -1.454700 0.611002 -0.968971 2.609994 2.265415 -0.281667 -0.118386

Antenna 70: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.596313 -0.987261 8.596313 -0.616144 0.824853 -0.999831 3.393499 6.851849 1.135454

Antenna 70: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.140665 -1.248403 9.140665 -0.992336 1.045872 0.857089 -0.908615 -0.607561 -0.819655

Antenna 70: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.340714 9.340714 -1.812851 0.779806 -0.986517 2.317545 -0.906943 0.230268 0.860818

Antenna 70: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 7.203718 -1.398972 7.203718 -0.452326 1.485308 -0.939514 0.479001 1.893036 -0.679824

Antenna 70: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.841712 8.841712 -1.063345 0.474672 -1.021649 -0.656194 -1.243257 0.627963 -0.218445

Antenna 70: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 9.925905 -0.946732 9.925905 -1.024131 0.373186 -0.961556 -1.203158 -0.566188 1.661898

Antenna 70: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 20.355922 11.353067 -1.473501 -0.124232 -0.860073 20.355922 4.018431 1.242641 0.764547

Antenna 70: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.184100 8.184100 -1.193739 0.071562 -0.898306 -0.745667 -1.489977 -0.635205 -0.530998

Antenna 70: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 8.864484 -1.257250 8.864484 -1.229696 1.418474 -0.123882 1.044804 1.797906 0.439381

Antenna 70: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Shape 7.706013 -1.510710 7.706013 -1.051218 0.930838 -0.831083 -0.109787 1.136299 -0.574194

Antenna 70: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 70: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
70 N04 RF_maintenance ee Temporal Variability 22.888005 -2.191853 13.385392 -1.037635 -0.233142 1.359502 22.888005 2.258021 1.219071
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